Revealing in-plane grain boundary composition features through machine learning from atom probe tomography data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Acta materialia, 226, S. 1-15
- Ereignis
-
Veröffentlichung
- (wo)
-
Berlin
- (wer)
-
Bundesanstalt für Materialforschung und -prüfung (BAM)
- (wann)
-
2022
- Urheber
-
Zhou, X.
Wei, Y.
Kühbach, M.
Zhao, H.
Vogel, F.
Darvishi Kamachali, Reza
Thompson, G. B.
Raabe, D.
Gault, B.
- DOI
-
10.1016/j.actamat.2022.117633
- URN
-
urn:nbn:de:kobv:b43-543049
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:48 MEZ
Datenpartner
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Beteiligte
- Zhou, X.
- Wei, Y.
- Kühbach, M.
- Zhao, H.
- Vogel, F.
- Darvishi Kamachali, Reza
- Thompson, G. B.
- Raabe, D.
- Gault, B.
- Bundesanstalt für Materialforschung und -prüfung (BAM)
Entstanden
- 2022
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